Sulc, Jonathan and Mounier, Ninon and Guenther, Felix and Winkler, Thomas and Wood, Andrew R. and Frayling, Timothy M. and Heid, Iris M. and Robinson, Matthew R. and Kutalik, Zoltan (2020) Quantification of the overall contribution of gene-environment interaction for obesity-related traits. NATURE COMMUNICATIONS, 11 (1): 1385. ISSN 2041-1723,
Full text not available from this repository. (Request a copy)Abstract
The growing sample size of genome-wide association studies has facilitated the discovery of gene-environment interactions (GxE). Here we propose a maximum likelihood method to estimate the contribution of GxE to continuous traits taking into account all interacting environmental variables, without the need to measure any. Extensive simulations demonstrate that our method provides unbiased interaction estimates and excellent coverage. We also offer strategies to distinguish specific GxE from general scale effects. Applying our method to 32 traits in the UK Biobank reveals that while the genetic risk score (GRS) of 376 variants explains 5.2% of body mass index (BMI) variance, GRSxE explains an additional 1.9%. Nevertheless, this interaction holds for any variable with identical correlation to BMI as the GRS, hence may not be GRS-specific. Still, we observe that the global contribution of specific GRSxE to complex traits is substantial for nine obesity-related measures (including leg impedance and trunk fat-free mass).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | PHENOTYPIC VARIABILITY; GENOTYPE; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 29 Mar 2021 11:56 |
| Last Modified: | 29 Mar 2021 11:56 |
| URI: | https://pred.uni-regensburg.de/id/eprint/44938 |
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